Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty

Statistics – Methodology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

14 pages, 5 figures, 4 tables; v2: 15 pages, minor corrections, references added

Scientific paper

When animals are transported and pass through customs, some of them may have dangerous infectious diseases. Typically, due to the cost of testing, not all animals are tested: a reasonable selection must be made. How to test effectively whilst avoiding costly disease outbreaks? First, we extend a model proposed in the literature for the detection of invasive species to suit our purpose. Secondly, we explore and compare three decision methodologies on the problem at hand, namely, Bayesian statistics, info-gap theory and imprecise probability theory, all of which are designed to handle severe uncertainty. We show that, under rather general conditions, every info-gap solution is maximal with respect to a suitably chosen imprecise probability model, and that therefore, perhaps surprisingly, the set of maximal options can be inferred at least partly---and sometimes entirely---from an info-gap analysis.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-548724

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.